Image Analysis for Intelligent Systems in Medicine
Image Analysis for Intelligent Systems in Medicine
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Description
AI is becoming an increasingly important tool for clinical tasks, e.g., medical image processing or decision making. In this course you will have the opportunity to learn the fundamentals of different AI methods and apply these methods practically to real clinical image data. We will provide datasets - acquired partially in our laboratory – to train models on detection and classification tasks for surgical image analysis. You will work in an interdisciplinary and international team on this project.
The Team
Teamchers
These are the teamchers you'll work with on the challenge.
Learners
- Study period
- 1 November 2024 – 23 January 2025
- Study format
- Hybrid
- Application period
- 1 September – 11 October 2024
- Credits
- 2 ECTS
- Hosting university
- Hamburg University of Technology
- Topics
Information
Value and progress
Gain practical experiences in medical image analysis
At the end of the course learner will gained a practical experiences in acquiring, pre-processing and analyzing medical image data.
ESCO SKILLS
Implement data analysis algotithm
At the end of the course the learner is able to implement data analysis algotithm using principles of artificial intelligence.
ESCO SKILLS
Organize Coding in a team
At the end of the course learners solved coding taks successfully in a team and forster their skills in collaborative problem-solving.
ESCO SKILLS
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Hosting university
Hamburg University of Technology
